Data Scientist - Analytics Jobs

Senior Data Scientist - Workforce Analytics

As a Senior Data Scientist on our Team, you will partner closely with key busine...

Location

United States , San Francisco

Salary:

145300.00 - 233400.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

5+ years of experience working with data
BS degree in Statistics, Mathematics, Economics, Computer Science or other quantitative field
experience in building business impacting analytic solutions
experience using data to influence operational teams
track record of successfully driving analytic initiatives
ability to bridge the gap between business problem and data
strong communication skills (non-technical) and core tech skills
ability to learn new things quickly
ability to take an ambiguous assignment and move rapidly to deliver iterative value
ability to mentor / grow less experienced analysts

Job Responsibility

Work with a strong group of data scientists to advance core data artifacts
develop strong collaborative partnerships with business and operations leaders
provide technical expertise in data visualization, deep business acumen, stakeholder engagement and operational insights via analysis
work with a cross functional team to drive improvement and efficiency
use compelling data, deep business acumen and exceptional communication to drive business strategy and execution
address business challenges, performance bottlenecks and growth opportunities with analytic solutions
propose rapid experiments or A/B tests to assess the effect of new strategies or initiatives
play the role of analytic visualization expert in cross functional teams

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Data Scientist, Product Analytics

Airtable is seeking a product-focused Data Scientist to join our Analytics & Dat...

Location

United States , San Francisco; New York City; Austin

Salary:

185300.00 - 266300.00 USD / Year

Airtable

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, data science, mathematics/statistics, or related field
6+ years of experience as a data scientist, data analyst, or data engineer
Experience supporting product development teams and driving product growth insight
Background in SaaS, consumer tech, or data-driven product environments preferred
Expert in SQL and modern data modeling (e.g., dbt, Databricks, Snowflake, BigQuery)
Deep experience with BI tools and modeling (e.g., Looker, Omni, Hex, Tableau, Mode)
Proficient with experimentation platforms and statistical libraries (e.g., Eppo, Optimizely, LaunchDarkly, scipy, statsmodels)
Proven ability to apply AI/ML tools — from core libraries (scikit-learn, PyTorch, TensorFlow) to GenAI platforms (ChatGPT, Claude, Gemini) and AI-assisted development (Cursor, GitHub Copilot)
Strong statistical foundation
Experience at an AI-native company, with exposure to building or scaling products powered by AI

Job Responsibility

Own and maintain core product data pipelines across DBT, Looker, and Omni
Build and refine dashboards that deliver self-serve, real-time insights
Lead the development and delivery of company-wide strategic insights
Partner with product and engineering teams to define tracking requirements and deliver launch-specific dashboards
Establish trusted partnerships as the go-to resource for product data insights
Collaborate with leadership to define the analytics roadmap and prioritize initiatives
Mentor junior team members and cross-functional partners
Support end-to-end analytics for all product launches
Deliver comprehensive strategic analyses or experiments
Lead or participate in cross-functional projects

What we offer

Benefits
Restricted stock units
Incentive compensation

Fulltime

Data Scientist, GTM Analytics

Our data team’s mission is to fuel Airtable’s growth and operations. We are a st...

Location

United States , San Francisco; New York City; Austin

Salary:

161500.00 - 221500.00 USD / Year

Airtable

Expiration Date

Until further notice

Requirements

Bachelor degree in a quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS), MS/MBA preferred
4+ years of working experience as a data scientist / analytics engineer in high-growth B2B SaaS, preferably supporting sales, CSG or other go-to-market stakeholders
Demonstrated business acumen with a deep understanding of Enterprise Sales strategies (sales pipeline, forecast models, sales capacity, sales segmentation, quota planning), CSG strategies (customer churn risk model, performance attribution) and Enterprise financial metrics (ACV, ARR, NDR)
Familiar with CRM platforms (i.e., Salesforce)
6+ years of experience working with SQL in modern data platforms, such as Databricks, Snowflake, Redshift, BigQuery
6+ years of experience working with Python or R for analytics or data science projects
6+ years of experience building business facing dashboards and data models using modern BI tools like Looker, Tableau, etc.
Proficient-level experience developing automated solutions to collect, transform, and clean data from various sources, by using tools such as dbt, Fivetran
Proficient knowledge of data science models, such as regression, classification, clustering, time series analysis, and experiment design
Excellent communication skills to present findings to both technical and non-technical audiences

Job Responsibility

Champion AI Driven Data Product with Scalability: Design and implement ML models and AI solutions to enable CE team with actionable insights and recommendations. Build scalable data pipelines and automated workflows with MLOps best practices
Support Key Business Processes: Provide strategic insights, repeatable frameworks and thought partnership independently to support key CE business processes like territory carving, annual planning, pricing optimization and performance attribution, etc.
Strategic Analysis: Drive in-depth deep-dive analysis to ensure accuracy and relevance. Influence the business stakeholders with a good story telling of the data. Tackle ambiguous problems to uncover business value with minimal oversight
Develop Executive Dashboards: Design, build, and maintain high-quality dashboards and BI tools. Partner with Revenue Operations team to enable vast roles of CE team efficiently with the data products
Strong Communication Skills: Effectively communicate the “so-what” of an analysis, illustrating how insights can be leveraged to drive business impact across the organization

What we offer

Benefits
Restricted stock units
Incentive compensation

Fulltime

Data Scientist - Consumer Analytics

Growth through diversity, equity, and inclusion. As an ethical business, we do w...

Location

India

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

Commercial experience with various classical data science and Machine Learning (ML) models (e.g. decision trees, ensemble-based tree models, linear regression etc.)
Familiarity with customer analytics DS concepts or advanced forecasting
Model hyperparameter tuning
Model validation frameworks
Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, models evaluation
Fluency in Python, basic working knowledge of SQL
Knowledge of specific DS/ML libraries
Solid experience in one of the cloud computing platforms (Databricks or GCP or Azure)
Basic computer programming skills and familiarity with programming concepts
Strong business acumen

Job Responsibility

Running end-to-end initiatives (Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment)
Analyzing and interpreting the findings
Drawing conclusions and recommendations- including expected benefits and measuring ROI for enhancing business processes
Pre-sales activities (at senior consultant level)

What we offer

Stable employment
“Office as an option” model
Flexibility regarding working hours and your preferred form of contract
Comprehensive online onboarding program with a “Buddy” from day 1
Cooperation with top-tier engineers and experts
Unlimited access to the Udemy learning platform from day 1
Certificate training programs
Upskilling support
Internal Gallup Certified Strengths Coach to support your growth
Grow as we grow as a company

Data Scientist Manager

Location

Japan , Tokyo

Salary:

9000000.00 - 13000000.00 JPY / Year

Randstad

Expiration Date

December 30, 2025

Requirements

Business level Japanese & English
Hands on Data Scientist experience
Strong Python skills
Data Modeling and data analytics
Experience with AWS or similar cloud tech

Job Responsibility

Report directly to Global Head, have a strong influence on the Direction of Data at the business
Key position in the Japan IT department
Work directly with business leaders in Japan

What we offer

食堂
健康保険
労災保険

Fulltime

Lead Data Scientist - Retail Pharmacy Patient Safety Analytics

At CVS Health, we're building a world of health around every consumer and surrou...

Location

United States

Salary:

142140.00 - 284280.00 USD / Year

CVS Health

Expiration Date

December 28, 2025

Requirements

5+ years of relevant analytic experience
Experience programming using R or Python
Experience in SAS or SQL
Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline
Strong knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources
Demonstrates proficiency in most areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and in-depth specialization in some areas

Job Responsibility

Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes
Performs analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses
Collaborates with business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports and performance metrics
Develops and participates in presentations and consultations to existing and prospective constituents on analytics results and solutions
Interacts with internal and external peers and managers to exchange complex information related to areas of specialization
Use strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions
Use strong programming skills to explore, examine and interpret large volumes of data in various forms

What we offer

Affordable medical plan options
401(k) plan with matching company contributions
Employee stock purchase plan
No-cost wellness screenings
Tobacco cessation and weight management programs
Confidential counseling and financial coaching
Paid time off
Flexible work schedules
Family leave
Dependent care resources

Fulltime

Senior Data Scientist – Audience Data Product

We are looking for a Senior Data Scientist – Audience Data Product to join our G...

Location

United States , Bethesda, MD

Salary:

52.06 - 82.45 USD / Hour

Marriott Bonvoy

Expiration Date

Until further notice

Requirements

4-year degree from an accredited university in Data Analytics, Computer Science, Engineering, Information Systems, or a similar quantitative discipline, with 4+ years of experience demonstrating progressive career growth and a history of exceptional performance in data science or analytics OR 2+ years of experience in data science or analytics with a Master's degree
Proven experience in building and optimizing audience segmentation and lookalike models for targeted advertising using data science techniques, including clustering, classification, and predictive modeling
Strong experience with writing AI/ML models in Python, Spark or SQL, and familiarity with cloud data warehouses (e.g., Snowflake, AWS) for data processing and model deployment
Demonstrated ability to use data science methodologies (e.g., machine learning, statistical modeling) to analyze and optimize large-scale datasets for audience targeting
Ability to collaborate cross-functionally with marketing, digital, and technology teams to align on broader data strategies and contribute insights to media optimization and performance measurement

Job Responsibility

Design and develop audience segmentation and various lookalike models to optimize targeting across owned & paid channels
Work with cross-functional teams to collect, analyze, and optimize media exposure data for continuous media optimization and audience measurement
Collaborate closely with teams from marketing, digital, and technology to evolve the media data ecosystem, leveraging advanced tools such as cloud data warehouses (Snowflake), data cleanrooms, and customer data platforms (CDPs)
Develop and implement segmentation and modeling strategies
Collaborate with marketing and analytics teams to design and build segmentation models and lookalike models for optimized targeting across paid media channels
Work with the AdTech and IT teams to ensure effective integration and deployment of data infrastructure that supports segmentation and audience activation efforts
Align segmentation models and tactics with the broader organizational data strategy to ensure consistency with long-term business goals and objectives
Collaborate closely with marketing and analytics teams to define key performance indicators (KPIs) and data requirements for optimizing segmentation strategies, improving campaign targeting, and driving ROI
Collaborate with technical teams and vendors (e.g., AWS, Snowflake) to build and enhance infrastructure that supports data-driven segmentation, model development, and performance measurement
Identify and work on improving processes that enhance data quality and reduce manual interventions in segmentation model development and activation workflows

What we offer

Coverage for medical, dental, vision, health care flexible spending account, dependent care flexible spending account, life insurance, disability insurance, accident insurance, adoption expense reimbursements, paid parental leave, 401(k) plan, stock purchase plan, discounts at Marriott properties, commuter benefits, employee assistance plan, and childcare discounts

Fulltime

New

Senior Clinical Data Scientist - Applied Data Enablement

Pivotal role focuses on enabling our customers to make informed decisions based ...

Location

United States , Seattle

Salary:

155000.00 - 170000.00 USD / Year

Truveta

Expiration Date

Until further notice

Requirements

Bachelor’s degree or equivalent in a quantitative field such as computer science, engineering, statistics, mathematics, or economics
Minimum of 3 years of hands-on experience in data analytics, including proficiency in SQL, Spark, R, and/or Python, with a focus on executing data exploration, profiling, and validation projects
Proven track record of working effectively with cross-functional teams and communicating complex findings to diverse audiences
Ability to thrive in a fast-paced environment, demonstrating initiative and delivering high-quality results
Exceptional written and verbal communication skills, with the ability to convey project status, timelines, and project outcomes clearly
Proficient in applying generative AI and related tools across workstreams to enhance efficiency and scalability

Job Responsibility

Develop a deep understanding of Truveta Data, its characteristics, and its applications in clinical research
Create customer-facing reports and tutorials that summarize findings and provide actionable recommendations for research studies utilizing Truveta Data, driven by a prioritization list derived from customer and internal stakeholder needs
Design tailored artifacts and templates for multiple skill levels, serving as key inputs to enhance Truveta’s AI initiatives
Present findings in both written and oral formats to diverse audiences, including executive-level customers, detail-oriented analysts, and internal product and engineering teams
Engage with customers to understand research needs and effectively communicate results
Develop a deep understanding of Truveta Studio, our analytical platform
Write high-quality, reproducible analysis code in SQL, R, Python, and Spark, and share it with internal teams and customers for educational purposes

What we offer

Comprehensive benefits with strong medical, dental and vision insurance plans
401K plan
Professional development & training opportunities for continuous learning
Work/life autonomy via flexible work hours and flexible paid time off
Generous parental leave
Regular team activities (virtual and in-person)
Additional compensation such as incentive pay and stock options

Fulltime

Data Scientist - Analytics

AppLovin

Location:
United States, Palo Alto

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 19, 2025

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